SHAPING THE FUTURE: TRENDS TRANSFORMING OPEN AND DISTANCE LEARNING TODAY
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Keywords

Open and Distance Learning (ODL), Artificial Intelligence (AI)
Adaptive Learning
Digital Divide
Personalized Learning
Educational Technology
Eastern Indonesia
Higher Education

Abstract

This study examines the integration of Artificial Intelligence (AI) and adaptive learning in Open and Distance Learning (ODL) within the context of Eastern Indonesia. Using a qualitative approach, including semi-structured interviews, document analysis, and virtual observations of ODL platforms, we investigated the impact of these technologies on educational access and quality. Results indicate that AI-enhanced ODL significantly improves learning personalization, leading to increased student engagement and performance. However, the digital divide in remote areas poses a substantial challenge to implementation. SWOT analysis revealed opportunities for expanded educational access, counterbalanced by concerns over data privacy and algorithmic bias. The study emphasizes the critical need for digital literacy and ethical considerations in AI integration. These findings contribute to the understanding of AI in education, particularly in developing regions, and offer insights for policymakers and educators in leveraging AI for ODL while addressing associated challenges.

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